Run a regression analysis on the following data set, where y is the final grade in a math class and x is the average number of hours the student spent working on math each week. hours/week x | Grade y 5 | 43 6 | 60.4 10 | 73 10 | 79 13 | 74.2 14 | 93.6 17 | 96.8 19 | 100 19 | 96.6 19 | 100 State the regression equation with constants accurate to 2 decimal places. y? = [ ] x + [ ] What is the predicted value for the final grade when a student spends an average of 11 hours each week on math? [ ] Round to 2 decimal places. Get help: Video Video
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To do this, we need to calculate the mean of x (average hours spent on math each week) and the mean of y (final grade in math class). The mean of x (average hours spent on math each week) is (43+73+74.2+96.8+96.6+10+19)/7 = 59.09 hours/week. The mean of y Show moreā¦
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Ahmet Y.
Run regression analysis on the following data set, where y is the final grade in a math class and x is the average number of hours the student spent working on math each week. State the regression equation y = m * x + b, with constants accurate to two decimal places. What is the predicted value for the final grade when student spends an average of 13 hours each week on math? Grade = Round to 1 decimal place.
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Find the regression equation for predicting final score from midterm score, based on the following information: $$\begin{array}{cl}{\text { average midterm score }=70,} & {\text { SD }=10} \\ {\text { average final score }=55,} & {\text { SD }=20, \quad r=0.60}\end{array}$$
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